期刊
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
卷 21, 期 3, 页码 439-454出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10705511.2014.915375
关键词
auxiliary variables; growth mixture modeling; latent class analysis; latent transition analysis; mixture modeling; three-step method
The 3-step method for estimating the effects of auxiliary variables (i. e., covariates and distal outcome) in mixture modeling provides a useful way to specify complex mixture models. One of the benefits of this method is that the measurement parameters of the mixture model are not influenced by the auxiliary variable(s). In addition, it allows for models that involve multiple latent class variables to be specified without each part of the model influencing the others. This article describes a unique latent transition analysis model where the measurement models are a latent class analysis model and a growth mixture model. We highlight the application of this model to study kindergarten readiness profiles and link it to elementary students' reading trajectories. Mplus syntax for the 3-step specification is provided.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据